# FishYuLi/BalancedGroupSoftmax

<https://repo.masters-masters.com/en/repos/FishYuLi/BalancedGroupSoftmax>

[Home](https://repo.masters-masters.com/en) › [FishYuLi](https://repo.masters-masters.com/en/owners/FishYuLi) › [BalancedGroupSoftmax](https://repo.masters-masters.com/en/repos/FishYuLi/BalancedGroupSoftmax)

FishYuLi/BalancedGroupSoftmax has 355 stars on GitHub. Its RepoMasters card: Alpha tier. CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail…

| Field | Value |
| --- | --- |
| Owner | [FishYuLi](https://repo.masters-masters.com/en/owners/FishYuLi) |
| Stars | 355 |
| Forks | 61 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [FishYuLi/BalancedGroupSoftmax](https://github.com/FishYuLi/BalancedGroupSoftmax) |

## Repository

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.